Thanks, but I am not sure that will work as my variables are
continuous. Both the dataset1 variable and the dataset2 variables can
vary up to 3 decimal places. In each case I want to merge them if
they are basically close to each other even if they aren't exactly
alike. So something like merge x with y(+/- 0.5) is what I am
looking for.
Here is just a snippet of the data
15.9375
20.6
39.53
40.85
65.31
62.538
7.969
10.875
10.3
9.625
19.765
20.425
34.82
31.1
29.78
7.969
19.765
In each case I want to be able to set a level of precision for the
merge and allow a merge even if the variable isn't exactly the same.
Perhaps it can't be done!
On Wednesday, February 8, 2012, Lim Lee <lee.haklim@gmail.com> wrote:
> you can create a variable "x" tagging all price==20 in dataset1 and
> variable "x" tagging all price in the range of 19.5 to 20.5. If you
> have more than one value with price=20 your going to have to make that
> each observation unique or drop one since merging m:m makes little
> sense and the merging process requires at least one dataset to be
> uniquely identified with regard to the variable your are matching the
> datasets with.
>
> hope this might be of help.
>
> Lim
>
> On Wed, Feb 8, 2012 at 4:45 PM, Richard Warr <rswarr@gmail.com> wrote:
>> Hi, I want to merge two data sets. The merge variable is the stock
>> price. However I would like to merge over a range of prices. For
>> example if the price is 20 in dataset1, I would like that to merge
>> with any price in the range of 19.5 to 20.5 in dataset2. Currently
>> my data sets each contain only a single stock price series (and other
>> variables).
>>
>> Any ideas?
>>
>> Thanks
>> Richard
>>
>> *
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>
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